In recent years,terroristic activities occur more frequently and have seriously affected the regional stability and the world peace. With the development of information technology, the researchers are able to obtain information of terroristic attacks from many aspects. However, with the constant enlargement of the scale of data sets,how to explore the underlying information and analyze the uncertainty from a large number of data has become an important issue in the analysis process of terroristic attacks. On Global Terrorism Database,based on visual analysis and uncertainty measurement theory,we propose the measurement and visual analysis methods on data records and uncertainty of attributes. By integrating results of uncertainty measurement with parallel coordinates, histogram, area chart and interactive methods,the data uncertainty is clearly displayed without influence on its representation and provides information base for situation assessment based on uncertainty theory the next step.%近年来,全球范围内恐怖主义活动愈发频繁,已经严重影响了地区稳定和世界和平.随着信息技术的发展,研究者们得以从多个方面获取恐怖袭击事件信息.然而,随着数据集规模的不断扩大,如何从大量数据中发掘隐含的信息、分析其中包含的不确定性,成为恐怖袭击事件分析过程中的重要问题.针对全球恐怖主义数据库,基于可视分析和不确定度量理论,提出了数据记录和属性不确定性的度量及可视分析方法.通过将不确定性度量结果与平行坐标、柱状图、面积图和交互式方法相结合,在不影响数据源表达的同时清晰地展示了其中包含的不确定性,为下一步基于不确定性理论的态势评估提供了信息基础.
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